{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7aaa4a9d",
   "metadata": {},
   "source": [
    "# 综合练习\n",
    "#### 1. 画出某城市近十年的平均气温的变化曲线\n",
    "数据：执行以下代码块获取数据\n",
    "\n",
    "```py\n",
    "# 生成2012~2021平均气温\n",
    "years = np.arange(2012, 2022)\n",
    "temps = np.array([15.2, 16.1, 16.5, 16.8, 16.3, 15.9, 15.7, 16.2, 16.6, 16.9])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8d440ef8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# 生成数据\n",
    "years = np.arange(2012, 2022)\n",
    "temps = np.array([15.2, 16.1, 16.5, 16.8, 16.3, 15.9, 15.7, 16.2, 16.6, 16.9])\n",
    "df = pd.DataFrame({\"year\": years, \"temp\": temps})\n",
    "\n",
    "# 画图\n",
    "df.plot(x=\"year\", y=\"temp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7976e1ee",
   "metadata": {},
   "source": [
    "#### 2. 使用 Pandas 和 NumPy 读取并可视化某电商平台的用户购买记录。绘制该平台所有用户的购买金额排名前 10 的条形图，其中 x 轴表示用户编号，y 轴表示购买金额。\n",
    "\n",
    "数据：执行以下代码块获取数据\n",
    "\n",
    "```python\n",
    "# 生成某电商平台的用户购买记录\n",
    "users = np.arange(1, 51)\n",
    "purchases = np.random.randint(low=100, high=1000, size=50)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "30adedf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='users'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "np.random.seed(123)\n",
    "users = np.arange(1, 51)\n",
    "purchases = np.random.randint(low=100, high=1000, size=50)\n",
    "\n",
    "df = pd.DataFrame({\"users\": users, \"purchases\": purchases})\n",
    "\n",
    "df = df.sort_values(by=\"purchases\",ascending=False)[:10]\n",
    "\n",
    "df.plot.bar(x=\"users\", y=\"purchases\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab399c06",
   "metadata": {},
   "source": [
    "#### 3. 画出均值为3.5，方差为2.2的正太分布曲线，$x\\in[-20, 20]$\n",
    "\n",
    "**正太分布概率密度函数**\n",
    "$$f(x)=\\frac{1}{\\sigma \\sqrt{2 \\pi}}e^{-\\frac{(x-\\mu)^2}{2\\sigma^2}}，其中\\mu是均值，\\sigma是方差$$\n",
    "数据：自己创建\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c0f52f00",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='x'>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "mu, sigma = 3.5, 2.2\n",
    "\n",
    "# x轴数据\n",
    "xs = np.linspace(-20, 20, 200)\n",
    "# 根据概率密度函数计算y轴数据\n",
    "ys = 1/(sigma * np.sqrt(2 * np.pi)) * np.exp(-(xs - mu)**2 / (2 * sigma**2))\n",
    "# df数据\n",
    "df = pd.DataFrame({\"x\": xs, \"y\": ys})\n",
    "# 画图\n",
    "df.plot(x=\"x\", y=\"y\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8672aa44",
   "metadata": {},
   "source": [
    "#### 4. 使用 Pandas 和 NumPy 读取并可视化某汽车品牌的销售数据。绘制该品牌不同车型的销售量堆叠图，其中横坐标表示车型名称，纵坐标表示销售量，每个车型用一个柱状图表示\n",
    "\n",
    "数据：执行以下代码块获取数据\n",
    "```py\n",
    "# 生成数据\n",
    "models = ['Sedan', 'SUV', 'Truck', 'Sports']\n",
    "sales1 = [5000, 8000, 6000, 4000]\n",
    "sales2 = [3000, 6000, 4000, 2000]\n",
    "sales3 = [2000, 4000, 3000, 1000]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "49627316",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# 生成数据\n",
    "models = ['Sedan', 'SUV', 'Truck', 'Sports']\n",
    "sales1 = [5000, 8000, 6000, 4000]\n",
    "sales2 = [3000, 6000, 4000, 2000]\n",
    "sales3 = [2000, 4000, 3000, 1000]\n",
    "df = pd.DataFrame({'sales1': sales1, 'sales2': sales2, 'sales3': sales3}, index=models)\n",
    "\n",
    "# 绘制图表\n",
    "df.plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ebe8ce8",
   "metadata": {},
   "source": [
    "#### 5. 使用 Pandas 和 NumPy 读取并可视化某电商平台的订单数据。绘制每个月的订单数量和订单总金额的双轴折线图，其中 x 轴表示月份，左 y 轴表示订单数量，右 y 轴表示订单总金额。\n",
    "\n",
    "数据：执行以下代码块获取数据\n",
    "```py\n",
    "\n",
    "# 生成数据\n",
    "months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']\n",
    "orders = np.random.randint(low=1000, high=5000, size=6)\n",
    "amounts = np.random.randint(low=10000, high=50000, size=6)\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "37a150e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XApes8cJuxu+aIyKJQDZwMxgXE/S/ZjCzhQx3uPJmJVfSBzP9seCGP32UFudSnTMVOl04N5owaCTx+oE6UpNslE3tORJgNIHRgWP9eujsjIjsT1X9qqoWquoYvMktm1T1d4E3geesw54D3rCevwk8a2V2FuFNdtljhUmdIjLf+j7/1D1zfOdabb1H1K4Ag5ktZMD7C9G9dw/bR8xg+ZTQNMdcMmk4p4aMonXwMJymRVLE0OHysPbwZcqm5PmVCGU0gZGPo7KKpNGjSJ06Jdym9MTXgVIROQWUWq9R1aPAq8AxoBr4vKr6Uo//GG8izWngA2CdNf4yMFRETgNfwvIRwSCoDjAE2UIG7oQ/60sW3veeT6AZkpHM7KKh7Bo1k6Z33jFh0Ahh8/v1NLZ29hr+9GE0gZFNZ309Lbt3k/3440Ra4EtVt6jqE9bzG6q6VFUnWI83uxz3NVUdp6oTVXVdl/F9qjrV2vcF3ypPVdtU9ROqOl5V56rqmWBdQ7BXgN8huNlCdyEiz/syl1wuV0AuIBqof6uKK+mDmbZkXkjfd3lxLmsGTfZmg5owaERQcaCOnMwUFo7P8ev4zJREVkw1msBIxVldDaoREf6MRYLmAEOULXT3oOqLvsylxMTg6OAiDfetW3Tu3c32ETMomxqa8KeP0uJcTg4aSdvQ4Tiq1/U+wRBUGls62XSinidnjOhTFxCjCYxcGisrSZk0iZRx48JtSkwSzBVgKLKF4h7nxk3Y3G4uTF/AmJyMkL736KEZPJCXxYExD9L8zru4GxtD+v6Gu6k8cpkOt+e+4vf7MX+s0QRGIh0XLtB26DD2x1eG25SYJWgOMETZQnHP9Upv+HNKiMOfPkqLc3kta6IJg0YAFbUXmTA8kykj7L0f3AWbTXjmwQKjCYwwHJVVAGSvNA4wWIRDVBLIbKG4xt3YSPvu3ewYMZ3yaaENf/pYNjmX49mFdObk4qgx2aDh4sLNFvaea+DpWQX9SpZ4pqTQaAIjDEdlJWmzZpFU0LcVvcF/QuIAg5UtFO94w58uThfPY2JuVlhsmFE4iOH2VI5MKDFh0DCyptbruO7t/OAvo4dmMHfMEH5zwGgCI4G2kydpP3XKJL8EmbCXFTD0n5tV67iaPphJi+eFLUXaZhOWTs7l1xkmDBouVJWK2jrmjx1CwaC0fp9ndUkhZ641U3vhVuCMM/QLR1UV2GzYy8t6P9jQb4wDjFLcjY20vfuuN/wZ4uzPe1lenMvhjBG4hueZbNAwcPhiI2euN/ut/bsfK6cbTWAkoKo4KqvImD+fxBz/5CyG/mEcYJTi3LgJcbs4OmE2MwoHhdWWBeOGkp6SyPuT5nrDoLduhdWeeKOito6URBsrBngf2KcJfMtoAsNK25EjdF64YMKfIcA4wCjl1rp11KcPZsKiedhs4a0QkZqUwKIHhvHfmRPBZWqDhpJOt4e3Dl1iWXEu9tSB94lbXVKIs83F28euBsA6Q39wVFYiSUlklS4Ltykxj3GAUYjb4aDl3XfZHgHhTx/LJueyO2k4mpePw9QGDRnbTl7jRnMHq2YGJlPQaALDi7rdOKrWkbHoURLsfZOzGPqOcYBRiHPjJsTlonbsg8wtGhJucwB4bNJwEhJsnJkyn+Z3TRg0VFTU1jEkI5lFE4cF5Hy3NYGnrnGlsS0g5zT4T8vefbiuXTPavxBhHGAU0riummvpgxm7cG6fSl4Fk8EZycwePZg12ZOsMOjGcJsU8zjaOll/7Cofm55PUgD/HTxTUohH4fVaswoMNY7KSiQ9ncwlS8JtSlwQGd+eBr9xOxw0v7OTbfnTwiZ+vx+lxblscA9BRhTgqK4JtzkxT/WRK7S7PP3W/t0PnybwNdMnMKRoRweOt98m67HHsKX1X85i8B/jAKMM5yZv+HPfmFk87GfF/1CxvDgPRLgwzYRBQ0FFbR1FORnMHDko4Oc2msDQ07RzJ57GRlP7M4QYBxhlOKpruJ4+mMKH5pCalND7hBAyamg6E3OzqMqZYsKgQebSrVZ2nb3Bqn6WPusNowkMPY7KKmzZ2WQ+/HC4TYkbjAOMItxOJ007IzP86WNZ8XDebLGTUFCAY53JBg0Waw7WoQpPByj7816MJjC0eFpbcW7ahH35ciQ5OdzmxA3GAUYRTZs2IZ2d7Bo1k8UTh/c+IQyUFufhVrj64EKad+3C1dAQbpNiDlWl4kAds0cPZtTQ9KC9j9EEho6mzZvRlhYjfg8xxgFGEY3rqrmRMZjceQ+SmRKZDX+nF2QzPCuF9cOngstFkwmDBpyjlxycqm9iVR/7/vUVowkMHY2VVSQOG0b6nNnhNiWuMA4wSvCFP7fmTWP51BHhNue+2GzCsuJcXnNkkFhYaMKgQaCito7kBBtPTAvuvwOjCQwNboeD5m3bsK9cgSRE1n39WMc4wCjBF/58p3AGyybnhtucHiktzqWl08OteYtMGDTAuNwe3jx0iSWThpGdPvDSZ71hNIHBx7l+PdrZacKfYcA4wCjBUV1DQ8ZgsktmMiQjsm+SPzRuKBnJCWzNnwZuN84NG8JtUsyw84MbXHO2s2pWYUjeb/TQDOaMGWw0gUHEUVlF0qhRpE6bFm5T4g7jAKMAt9NJ044dbMmbSnmQw16BICUxgUcfGMart9JJGjkSpxHFB4yKAxfJTktiyaTAlD7zB6MJDB6u69dp3rXLG/4MU0/PeMY4wCigafNm6Oxk+4gZXrF5FFBanEt9UwetDy82YdAA0dzuouboVR6fnk9KYujuFa2clk9qks0kwwQBR3UNeDxkm/BnWDAOMApwVNdwK2MQaTOnk5edGm5z/OKxScNJsAnvjJxpwqABouboFVo73Xw8wKXPeiMrNYkVU/ONJjAIOCorSXngAVImTAi3KX4hIqkiskdEDonIURH5e2v870SkTkQOWtvKLnO+KiKnReR9ESnrMl4iIkesfd8VawksIiki8mtrfLeIjAnW9QTNAYbiDxUPuJuavOHP3GmURXD2570MSk9mzpjB/KYxnaRRo3CabNABU1Fbx8ghaZSMHhzy9zaawMDTWVdHa21ttCW/tAOPqeoMYCZQLiLzrX0vqOpMa6sCEJFi4FlgClAO/KeI+MIX3weeByZYW7k1/lmgQVXHAy8A3wjWxQRzBRiKP1TM07R5M3R0sL1gOmVToiP86aO0OI+T9c3ooqU0795twqAD4KqjjZ2nr7NqZnBKn/XGgrFDGZGdym9MGDRgNFZVAWBfuSLMlviPemmyXiZZW0/ZUU8Bv1LVdlU9C5wG5opIPmBX1XfVm131U+DpLnNesZ6/BiwN1qInaA4wRH+omMdRXUNj5mC0eCpjcjLCbU6fKLXkGvvGzPKGQdevD7NF0cubBy/hUVj1YGiyP+/FZhOeKSlku9EEBgxHZRWpM6aTPHJkuE25l0QR2ddle77rThFJEJGDQD2wXlV3W7u+ICKHReRHIuILUxQAF7pMv2iNFVjP7x2/a46quoBGYGjgLu8OQb0HGII/1L3v97zvQ3O5XIG8lLDgbmqiaft2NudOpSwKsj/vxVcce40zg6TRo0w26AB4vbaOmSMHURTGH0HPPOjVBFbU1oXNhlih/YMPaD9xIlKTX1yqOrvL9mLXnarqVtWZQCHeRcpUvFG6cXijfZeBb1uHd7dy0x7Ge5oTcILqAEPwh7r3/V70fWiJiZFZKqwv3A5/joi+8KeP0uJc9n7YQPJjpSYM2k9OXHFw/LKDVSFOfrmXMTk+TeAFowkcII7KSrDZyCqP3rs5qnoL2AKUq+pV6/veA7wEzLUOuwh0XeIWApes8cJuxu+aIyKJQDZwMxjXEJIs0CD+oWIaR3UNjszBtEyYzKS8rHCb0y9Ki3PxKBweP9uEQftJRW0diTbhYzPCHwVYXVLIB9eaOWg0gf1GVWmsrCR97lyShkdmUfv7ISLDRGSQ9TwNWAacsG5V+VgFvGc9fxN41srsLMKbw7FHVS8DThGZb93f+xTwRpc5z1nPVwObNEi/uIKZBRqKP1TM4gt/bsmdStnUEVErkp1WkE2uPYW1zZlWGNRkg/YFt0d5o/YSiycOi4gKQEYTOHDa3jtK54fno7XxbT6wWUQOA3vx3tpaC3zTytQ/DCwB/hRAVY8CrwLHgGrg86rq09L8MfBDvPkeHwDrrPGXgaEichr4EvCVYF1MMOOE+cArVianDXhVVdeKyM9EZCbeMOY54A/B+4cSEd8fysVH/1A/AdLw/pHWEeM0bd4CHR1sGzGdf5waneFPsIpjT86loraOv1leRuPLL+O6eZPEIUPCbVpUsOvMDa442vjrJ4rDbQpwRxP45qFL/PUTxRHXlDkacFRWQlIS9uXLw21Kn1HVw8CsbsZ/r4c5XwO+1s34PmBqN+NtwCcGZql/BDML9LCqzlLV6ao6VVX/wRr/PVWdZo0/aa3wfHO+pqrjVHWiqq7rMr7POsc4Vf1CsJbDkYSjppqmzMHcGPMAMwsHhducAVFanEtLh5sPiueDx4NzvRHF+0tFbR1ZKYksnRw5oTKfJnC90QT2GfV4cKxbR+bChSRkZ4fbnKhHRL4oInbx8rKIHBARv39ZmEowEYi7qZmmbdvZkjeF5VNHYLNFZ/jTxwKrOHZVSybJo0fjqI75BXxAaO1ws+7IZSvsGDkrLZ8m0IRB+07Lvn24rl6NNvF7JPMZVXUAy4FhwO8DX/d3snGAEUjTli3Q0cGWvOmUR2n2Z1dSEhNYNHEYG07Uk1leTsvuPbhuBiWpK6Z4+9gVmjvcQW9821eMJrD/OKqqkLQ0sh5bEm5TYgXf6mAl8GNVPUT3yoFuMQ4wAnHWVNOcNYhLIycwtyg27pWVFudyzdnO5ZkPecOgb5ts0N5YU1tHwaA05o6JvH8DRhPYd7SzE2d1DVlLlmBLTw+3ObHCfhF5G68DrBGRLMDj72TjACMMX/hze940lhXnk5gQGx/Rkone4thvt2WRPGYMjhqTDdoT15ztbDt1nadmRmYI3GgC+07zu+/ivnUL+xMm/BlAPos3S3SOqrYAyXjDoH7R529XEbGJiL2v8wz+0bRlC9rezobcaZRHcfbnvQxKT2bumCGsP15PVnmZNwx640a4zYpY3jp0CbdHwy5+7wmjCewbjspKbHY7GQsXhtuUWGK9qh6wtOao6g28BbT9wi8HKCK/sDJtMvDKFN4XkS/3x1pDzzhrqmnJGsyH+eN4eHxOuM0JKKXFuZyqb6Jp/mKTDdoLFbV1TC2wMyE3cgsgGE2g/3ja2nCu30DW8lJsyeHXc0Y7VrehIUCOiAwWkSHWNgbwu2KEvyvAYivT5mmgChgF3Ff3YegfnmZv+HPHiGksmpwXUZl/gaC02Fsce1OHFQY1ovhuOV3v5EhdI6tmhafwtb901QSaPoE907RlK56Wlkit/RmN/CGwH5hkPfq2N4D/8Pck/jrAJBFJwusA31DVToJUnDSecVrhz/XDpsRE9ue9jBySzqS8LN4+Xk/WinJa9pgwaHdU1NaRYBOejIDSZ73xzINGE+gPjspKEnJySJ87t/eDDb2iqv+mqkXAn6vqWFUtsrYZqvrv/p7HXwf4A7xVWzKAbSIyGnD02WpDjzira2jNGsTp4eNYMilyhM+BpLQ4l33nbqKLllphUJMN2hWPR1lTe4mF43MYlpUSbnN6ZcE4ownsDbfTSdPWrdjLy5GE2IrqhBtV/Z6IPCQivyMin/Jt/s7v1QGKiA24qqoFqrrSqsJyHm+9N0OA8IY/t/FuwXQefmA4mSnR382iO3zFsbe7skkuKsJhWiTdxd5zN6m71crHI0z7dz8SbMLHHzSawJ5wbtiIdnREa+3PiEZEfgZ8C1gIzLG22f7O79UBWl0bvnDPmFqNCg0BomnrVrS9neqcKZTFUPbnvUwryCbPnsr641ex+8Kg16+H26yIoaK2jozkBJYXR8+/gWdKjCawJxyVlSQVFJA2c2a4TYlFZgMPq+qfqOr/b23/w9/J/oZA14vIn4vIyC7ZNpGnzo1iHNU1tGUN4sSwsSyzOqnHIiLCsuLhbDt5nZSlpSYM2oW2TjeVRy5TNjWPtOToCZUV5WQwe7TRBHaH6+ZNmt99F/vKlVHb0SXCeQ/o969Ffx3gZ4DPA9u4k22zr79vargbX/hzz8gZzBmbExFtb4LJssm5tHa62WcbTPLYsSYMarHpRD3ONhcfj/Dsz+4wmsDucVRXg9ttxO/BIwc4JiI1IvKmb/N3sl83mqxsG0OQaNq6FW1rY+3gyXwihsOfPhaMG0pmSiLrj9fzpfIyrv/gv3Bdv05iTmzpHvvK6wfqyLWnsGDc0HCb0mdWTs/n7946ymv7LzJr1OBwmxMxOCqrSB4/jpQHHgi3KbHK3w1ksr9C+HQR+d8i8qL1eoKIPDGQNzbcwVFdQ7t9EEdzxkbVvZ/+kpKYwKIHhrHheD2ZZeUmDArcbO5gy/v1PD2zgIQILH3WG/bUJMqn5PGW0QTepvPSJVr37yf78cdN+DNIqOrW7jZ/5/sbAv0x0AE8ZL2+CPxTH201dIOnpYWmbdvYP3omM0YPIS87NdwmhQRfcezjqTneMOi6+BbFVx6+hMujPB3Bpc96Y3XJSBxtLjYcN5pAAMc6b9sv+0qT/RksRMQpIg5raxMRt4j4LdHz1wGOU9VvAp0AqtpKH1pOGO6PL/y5xj4pJsXv98NXHHv98Xrs5eXePmnXroXbrLDxem0dk/KymJwfvWV2jSbwbhyVVaROm0by6NHhNiVmUdUsVbVbWyrwDBBwIXyHiKRhVX8RkXFAe5+tNXwER3UNHfbBHM0ZS1kcOcDs9CTmFQ1hw7GrZJWXgceDI07DoGevN1N7/lbUaP/uh08TuO3kNa464lsT2H72LG3HjhntX4hR1TXAY/4e768D/FugGhgpIj8HNgJ/0dMEq1jpHhE5JCJHReTvrfEhIrJeRE5Zj4O7zPmqiJwWkfdFpKzLeImIHLH2fVdiJKDuaWmhaetWDo6ZyQP52YzJyQi3SSFl2WRvcezLg0eQPG4czjjNBq2orUMEnpwR3Q4QjCbQh6OyCkSwrzAOMJiIyMe7bKtF5Ov0oUynXw5QVdcDHwc+DfwSmK2qW3qZ1g48pqozgJlAuYjMx9u7aaOqTsDrSL9iXUgx8CwwBSgH/lNEfGKo7wPPAxOsrdy/y4tsmrZtQ9vaeN0+Ma5Wfz58xbE3HK/HXlZGy969cRcGVVXW1Nbx8LicmLj/e0cTeDFuNYGqiqOykvQ5c0jKjc2ShhHEx7psZYATeMrfyT06QBF50LcBo4HLwCVglDV2X6xqMU3WyyRrU8u4V6zxV/AW2MYa/5WqtqvqWeA0MFdE8gG7qr5rlWH7aZc5UY2juoZO+yCODB0bU73//MVXHHv9MW9VGFTjLgx64HwD52+2RHTfv76yuqSQ0/VNHLrYGG5TwkL78eN0nD2L3XR+CDqq+vtdts+p6tdUtd7f+b2tAL9tbf8B7AZeBF6ynn+3t5OLSIKIHATq8TYu3A3kquply/jLgO8nUgFwocv0i9ZYgfX83vHu3u95EdknIvtcrsiu1OZpbaVp61aOjJ3FyJxMJuVFbt+3YLK8OJd9H96kecRoksePwxln2aCvH6gjNckWU+XvVk739Qm80PvBMUhjZSUkJpK1vDTcpsQ8IlIoIhUiUi8iV0XkNyLidyWJHh2gqi5R1SXAh8CDqjpbVUuAWXhXaD2iqm5VnQkU4l3NTe3pWro7RQ/j3b3fi5aNsxMTI7uYdNPWbWhrK69nTaR8Sl7c6oRKi/PwKGw8fhV7mTcbtLPe7x9wUU2Hy8Paw5cpm5IXU8XPfZrANw/GnyZQPR4cVevIePghEgebggAh4MfAm3ib4BYAb1ljfuFvEswkVT3ie6Gq7+G9r+cXVrv6LXjv3V21wppYj75vu4vAyC7TCvGGWy9az+8dj2oc1dW47IOoHVwUU7/++8rUAjt59lQ2HL+KvbwMVONGFL/5/XoaWztjKvzpI141ga21tbguXzaNb0PHMFX9saq6rO0nwDB/J/vrAE+IyA9FZLGILBKRl4DjPU0QkWEiMsh6ngYsA07g9dbPWYc9h7eDL9b4syKSIiJFeJNd9lhhUqeIzLeyPz/VZU5U4gt/HhtfwrBB6cwsHBRuk8JG1+LYOmZsXIVBKw7UkZOZwsLxsVcCLl41gY7KSiQlhczHlobblKAQiux+ywf82hrfLSJjejDpuoj8rnW7LUFEfhfwu8u2vw7w08BR4IvA/wSOAb/fy5x8YLOIHAb24r0HuBb4OlAqIqeAUus1qnoUeNU6dzXweVX1xU/+GPgh3rDrB8A6P+2OSHzhz9eyvNmftigsfRVISovzaO10s/P0dezlK2jZvz/mw6CNLZ1sOlHPkzNGkJjg73/D6CEeNYHqcuGoriFzyRISMmNW0hSK7P7PAg2qOh54AfhGD/Z8Bvgt4AreJM3V1phf+NMQNwFYq6ovqOoqa3tBVXv8V62qh1V1lqpOV9WpqvoP1vgNVV2qqhOsx5td5nxNVcep6kRVXddlfJ91jnGq+gWN8vxqR001bvsg9mePjqvqL/dj/tgh3uLYx7qEQd+O7TBo5ZHLdLg9US9+74l40wQ2v7sL982bMS1+D1F2f9dzvQYsvZ/2W1XPq+qTqjpMVYer6tOq+qG/1+NPQ1w30CIi2f6e1HB/PK2tNG3ZyskHSrBnpjK3yLRVTElMYNFEb3HspLHjSJkwHmd1bIdBK2ovMmF4JlNGRG/ps96IN02go7ISW2YmmY8+Gm5TBkqiL5ve2p7vujME2f2351iN1xuBblukiEiRiPyriLwuwWqHBLQBR0RkPdDsG+xL512Dl6Zt273hz8yJLJucG5Phr/6wvDiXysOXqb1wi1Fl5Vz/j/+gs76epOGxJyS+cLOFveca+HLZxJjP/n2mpJCvvn6EQxcbmTlyULjNCRqe9nacGzaQVVqKLSUl3OYMFJeqzr7fTmtRNNPK8agIQna/35n/wBrgZbzZn54e7OgWf799NwP/AhzAe4/O1xTX0EecNdV47NnsspvwZ1cWPzCcRJvERRh0jRUSjObOD/7y+PR8UhJjXxPYtHUrnqamuBK/BzG7//YcEUkEsoGbdE+bqn5XVTcHvB2SiCSKyDeBf8SbCPMHeNsgTQV+4e+bGLx42tpwbtnK6UlzSE1NZuGE2Mv+6y/Z6UnMLRrChuNXSRk/npQJ43FUR3WuU7eoKhW1dcwfO4SCQWnhNifo2FOTKJ8a+5pAR2UVCUOHkjF/XrhNCSohyu7veq7VwKYe8j7+TUT+VkQW3FO5zC96WwH+CzAEKFLVElWdBYzF65H/xd83MXhp2rYNbWnh9ayJLJk0nNSkhN4nxRGlxbmcrm/i7PVmssrLad1/gM6rsZUNeuhiI2euN8ek9u9+rC4pjGlNoLupmaYtW7CXlSERXoAjAIQiu/9lYKiInAa+hJVReh+mAZ+z3s9Xuexb/l5Mbw7wCeBzqur0DaiqwzI8ftb6AcJZXYNmD2J7xigT/uwGX3Hs9ceuYC8vt8Kgb4fZqsCypraOlEQbK6blh9uUkPHQuBzyY1gT2LRpI9rejv2J2P9KDEV2v6q2qeonVHW8qs5V1TM9mLQKGKuqi3yVy1Q1YO2QtLulp+XBYz+tK4B4w59bODt5DolJSSyZFHvJHQOlcHA6k/PtrD92lZRx40iZMAFHTexkg3a6Pbx16BLLinOxpyaF25yQ4dUEFsSsJrCxspLEEfmkzZwZblPikUPAoP5O7s0BHhORT907aKntT/T3TeMRX/izwj6JRybkxFTtx0BSWpzL/g8buNHUTtYKXxg0NkJn205e40ZzB6tmxk/408czD8amJtDV0EDzznfIXrkSsZmM7jCQi7dSWU0XGYTflcJ6+8Q+D3xeRLaIyLdF5FsishX4H3jDoAY/8YU/N6UWxnXtz95YXpzrLY59ov5OGLQmNsKgFbV1DMlIZtFEv0sVxgxjh2VSMnowv4kxTaCz5m1wueIq+zPC+Fu8YdB/Bv4V2AOM93dyb90g6lR1HvAPwDngPPAPVlw2tn7KBRFf+PPClDlIYiLLJueG26SIZcoIO/nZqWw4dpWUsWNJeeABHDXR3yne0dbJ+mNX+dj0fJLiVPu5uqSQU/VNHI6hPoGOykqSx44lZdKkcJsSl1iSh0a8OSk/AZYCP/B3vr8d4Tep6vcsvcXG/hgazzRt3462tPDWoMnMKxrCkIzkcJsUsYgIyybnsv3Uddo63WSVl9G6f3/Uh0Grj1yh3eWJC+3f/bijCYyNZJjOq1dp2bcP+8qVMV/QINIQkQdE5G9E5Djw73grx4iVBPM9f88Tnz9FQ4yzugays6lKLIjLzu99pbQ4l9ZONztOXfeGQSHqw6AVtXUU5WTEdDWU3ritCTwUG5pAR9U6UI3p2p8RzAm8q72PqepCy+n1+R+VcYBBxtPWRtPmzVyaOg+PLYHlxcYB9sb8sUPJsopj3w6DRnFt0Eu3Wtl19garZhXE/UphdUkhja2dbDwe/fpOR2UlqcXFpBQVhduUeOQZvB0gNovISyKylO5LqPWIcYBBpnnHDjwtLVQNLWbmyEHkZaeG26SIJznRxqKJw9h44ipuj2JfUU7rgejNBl1zsA5VeDoOsz/v5Y4mMLpLo3WcO0fbe++Z5JcwoaoVqvpJYBLecmx/CuSKyPdFZLm/5zEOMMg4qmsQezZryDfhzz5QWpzL9aYODl5oIKvMFwaNvmQYVaXiQB2zRw9m1ND0cJsTdnyawK0nr1EfxZrAxqoqAOwrV4TZkvhGVZtV9eeq+gTeeqIH6blyzF0YBxhEPG1tNG3axJXp83DbEigz1V/8ZvFEX3HselLGFpEycSKO6uhzgEcvOThV38SqGO7711eiXROoqjgqq0ibXUJSfvxU9Il0VPWmqv5XICvBGAaAL/xZM3wqk/KyKMqJ2S7RASc7LYl5Y4ew/tgVAOzlZd4w6JUrYbasb1TU1pGcYOOJaSPCbUrE4NMERmufwPb336fjgw/INuHPqMc4wCDiqK5BsrP5b3euWf31g9LJuXxwrZkz15ruhEGjqDaoy+3hzUOXWDJpGNnp8VP6zB+iWRPoqKyEhASyysrCbYphgBgHGCQ87e00bd7M9ZkLcEmCuf/XD5bdLo591RsGnTQJx7royQbd+cENrjnbWTWrsPeD44xo1QT6wp8ZDz1E4pAh4TbHMECC5gBFZKSIbBaR4yJyVES+aI3/nYjUichBa1vZZc5XReS0iLwvImVdxktE5Ii177sSBbnkzTt24GluZuPwqYwems6kvKxwmxR1FA5Op9gqjg1WGLS2NmrCoBUHLpKdlsSSSfFX+qw3olUT2HrwIJ2XLhntX4wQzBWgC/gzVZ0MzMdbU7TY2veCqs60tioAa9+zwBS8HYb/U0R8DfO+DzyPt5niBGt/ROMLf/7SNZzyKXlxr//qL8uKc9l/voHrTe23Q07RkA3a3O6i5uhVa6Vj+j52RzRqAh2VVUhKClnLloXbFEMACJoDVNXLqnrAeu4EjgM9pcI9BfxKVdtV9SzeJolzRSQfsKvqu1Zrpp8CTwfL7kDgaW+nadMmbs1aQJvaTPHrAbC8OBdV2HSinpSi6AmD1hy9Qmunm4/Hcemz3og2TaC6XDiqq8lctIiEzMxwm2MIACG5BygiY4BZwG5r6AsiclhEfiQig62xArz13HxctMYKrOf3jnf3Ps+LyD4R2edyuQJ5CX2ieedOPM3NbMmfRq49hZmFg8JmS7QzZYSdEdmpXcKg5d4w1OXLYbasZypq6xg5JI2S0YN7PzhOSbAJq2ZFjyawZc8e3NevG/F7DBF0BygimcBvgP9pdZP/PjAOmAlcxtvCHrovY6M9jH90UPVFVZ2tqrMTE8PXb89RXY3Nbuf/duSyvDgPm82EP/uLiLCsOJftp67R2uHGXu4Ng0Zyh4irjjZ2nr7Oqpmm9FlvPFMSPZrAxspKbBkZZC56NNymGAJEUB2giCThdX4/V9XXAVT1qqq6VdUDvATMtQ6/CIzsMr0QuGSNF3YzHpF4w5+bccx+iCY3JvszAJQW59LW6WHH6eskjxlDyuTJ3gLjEcqbBy/hUVj1oMn+7I1xwzJ5cNSgiNcEejo6cL69nqxlS7GlmnKGsUIws0AFeBk4rqr/2mW8a+mEVcB71vM3gWdFJEVEivAmu+xR1cuAU0TmW+f8FOB3x99Q07xzJ56mJraPmMGg9CTmFplU6YEyr8hXHNsSxZeVRXQY9PXaOmaOHGQKH/jJ6pKREa8JbN6+HY/TacKfMUYwV4APA78HPHaP5OGblqThMLAEbxFTVPUo8CpwDKgGPq+qvvzoPwZ+iDcx5gNgXRDtHhC+8OfP2oexbHJu3DY/DSS3i2Mfr/cWx47gMOiJKw6OX3awyiS/+E00aAIdlZUkDBpExoIF4TbFEECCdqNMVXfQ/f27qh7mfA34Wjfj+4CpgbMuOHg6OmjatJnmeY/S0AnlpvpLwCgtzmXt4cscvNBAiS8Muq6aoZ/+dLhNu4uK2joSbcLHZpjSZ/6SnZZE2RSvJvCvHp9MalJkyUY8zc04N20m++mnkCRT0SeWMMuTANK8wxv+fGfkDNKTE1g4ISfcJsUMvuLYb3fNBj10iM5LkXM72O1R3qi9xOKJwxiSkRxuc6KKSNYEOjdtRtvaTO3PGMQ4wADirPGFP4ezZNLwiPslG81kpyUxf+zQu6rCADgiqFP8rjM3uOJoM6XP+sHD43PIs0emJtBRWUliXh5pJSXhNsUQYIwDDBCejg6cGzfRPm8hV1vdJvwZBEqLczlzrZkPrjWRPHo0KcWTcUZQp/iK2jqyUhJZOnl4uE2JOnx9Areduh5RmkD3rVs07dyJfcUKxGa+LkNR4tJKhPy1Nb7b0pEHBfOJBghf9ueeUTNJTrCxZJL5Egw0XYtjA9jLV3jDoHXh15C1drhZd+QyK6flm5V/P3mmpBC3R1lzMPyfpw/H229DZ6fJ/rxDKEpcfhZoUNXxwAvAN4J1McYBBghndY03/NmZyyMTcshMCZ8QP1YpGJT2keLYEBlh0LePXaG5w20a3w6ASNQEOiqrSB49mtQpxb0fHAeEqMTlU8Ar1vPXgKXBaoBgHGAA8HR04Ny0Cdf8hXzo6DS1P4NIaXEuB6zi2MmjRpFaXIyjJvxh0IraOgoGpTF3jNF9DoTVJSM5ebWJI3Xh1wR2Xq2nZc8e7I8/Hm8VfRJ9JSWt7fnuDgpiicvbc1TVBTQCQwd+WR/FOMAA0PzOO3icTvYXPYhNYNnk3HCbFLOU+opjW9mCWeXltB06HNYw6DVnO9tPXeepmSNM2bsBEkmaQGdNNahifyLuwp8uX0lJa3vx3gOCXOLS7/KXA8U4wADgXFeNLSuLX7jymFc01KTAB5EpI+wUDErrIocIfxj0rUOXcHvUiN8DgE8T+MbBS7S7wtsnsLGykpTJk0kZOzasdkQaIShxeXuOiCQC2cDNYFyLcYADxBf+1Icf5cSNNlP7M8iICMsmD2fHaW9x7Nth0DBmg1bU1jG1wM6EXNP0OBBEgiaw48IF2g4dJts0vr2LEJW4fBN4znq+GtikQbopbBzgAPGFPw+O9WqElk8x4c9gU1qcR1unh+2nrgGQtaKctsOH6bgY+jDo6XonR+oajfYvgNzRBIYvDOqo9Bassq80DvAeQlHi8mVgqIicBr4EfCVYF2NSFQeIs7oGW1YWv9Z8Zo5MIj87LdwmxTxzi4ZYxbGvsnxKHvbycq59+19x1tQw9LOfCaktFbV1JNiEJ03ps4Dh0wT+17Yz1DvaGG4PffcFR2UlaQ8+SNII87l2JRQlLlW1DfjEAMz0G7MCHABqhT8THllE7eVmE/4MEcmJNhZPGs6mE97i2MkjR5I6ZUrIi2N7PMqa2kssHJ/DsKyUkL53rBNOTWDbyZO0nzplVn9xgHGAA6D53XfxOBwcGe8Nf5aZ6i8ho7Q4lxvNHdSebwAgq7ws5GHQveduUnerlY8b7V/ACacm0FFZBTbb7QQrQ+xiHOAAcFTXYMvM5L91BJPyskz/txCyeOIwkhKkiyjeW0TCGcJVYEVtHRnJCSwvNj98gkE4NIGqiqOqioz580nMMcXsYx3jAPuJdnTg3LiRpEcXs+ui06z+Qow99e7i2MkjR5I6dWrIskHbOt1UHrlM2dQ80pJN6bNgEA5NYNvhw3ReuGBKn8UJxgH2k+Zdu/A4HJyYOAePYu7/hYHS4lzOXG/mdH0T4NUEth05EpIw6KYT9TjbXHzcZH8Gjey0JJaHWBPYWFmJJCWRVbosJO9nCC/GAfYTX/jzN7YCRg9NZ1Ke0YCFmqWT7y6OnXU7DBr8VeDrB+rItaewYFxQKjQZLEKpCVS3G8e6dWQsepQEuz3o72cIP8YB9gPt6MC5YQMpixez7VwjZVPy4q1WYERQMCiNKSPsbDhuhUELC71h0HXBdYA3mzvY8n49T88sIMGUPgsqC8fnkGtPCUkYtGXvXtzXrpvGt3FE0BxgD32jhojIehE5ZT0O7jKnT32jwoUv/Hl68jw63Wru/4URX3Hsa852AOwryml77z06LgbvC7Py8CVcHuVpU/os6Hg1gYVsPXkt6H0CHZWV2NLTyVy8OKjvY4gcgrkCvF/fqK8AG1V1ArDRet3fvlFhwRf+XJNQyPCsFGaNHBROc+Ka28WxT1hh0DLv76ZgNsp9vbaOSXlZTM43YbJQ8MyDwdcEakcHjrfXk7l0KbY0U8wiXgiaA+yhb1TXXk+vcHcPqL72jQo52tmJc+NG0hYvZuMHtyibkmc6AISR4nxvcezb2aCFhaROm4ajOjhyiLPXm6k9f8to/0LI+OGZzAqyJrBp5048jY3YTe3PuCIk9wDv6RuVaxVCxXr0tU7vT9+oe9/neV8PK5fLFdBr8NG8axeexkbOTZ1Pa6fbZH+GGRGhtDiX7aeu09Lh/czt5WXeMOiFC73M7jsVtXWIwJMzjAMMJatLCoOqCXRUVpGQnU3mQw8F5fyGyCToDrCbvlH3PbSbsd76Rt09qPqir4dVYmJwypw6qquxZWTwVuJIBqUnMbfINEANN8sm59Lu8rD91HUAssqCI4pXVdbU1vHwuBzyskNfnzKeeWL6CJKDpAn0tLbi3LSJrLIyJDn6W5n57ocbeieoDrC7vlHAVV/rDOvRl9/cn75RIUU7O2nasJH0JUuoOd3Assm5JCWYRNpwM2/sELJSE9lwOwxa4A2DBjgb9MD5Bs7fbDF9/8KAr0/gm4cCrwls2rwZbWmJevH7+1ec/MEr+1j67S00tnSG25yoIJhZoN32jeLuXk/PcXcPqL72jQopzbt2425s5NKMBTjaXJSb7M+IICnBxpKJd4pjg7c0WtvRowENg75+oI7UJBtlJuwdFlaXFHKrpZNNAdYENlZWkTh8OOmzSwJ63lBxsaGFP3v1EOX/to3dZ27wh4vGkZxofpj7QzD/SvfrG/V1oFRETgGl1uv+9o0KKY4ab/hzbcpo0pMTWDjB1AqMFHzFsQ9YxbFvd4oPUDZoh8vD2sOXKZuSR2aK6SIWDoKhCXQ7HDRv24Z9xQokIbpK2t1oaucf3jrGY9/ayluHL/EHC4vY9hdL+PyS8aY8n58E7X9yD32jAJbeZ06f+kaFEu3spGn9BjIWL2bdyQaWTBpOapL5RxYpdC2OPWfMEJIKCkidPh1ndQ05n/vcgM+/+f16Gls7TfgzjPg0gS9uO0O9s43hWQO/D+tcvx7t7Iyq7M+mdhcvbz/LS9vP0NLh4hMlI/nisgmMGGTkG33FrJP9xBf+vDb7Ea43tZvwZ4SR1aU4ti9VPpBh0IoDdeRkprBwvFn1hxOfJvCN2sCkATgqK0kaNYrUadMCcr5g0uHy8JOdZ1n0zc28sOEkC8fn8PafPso3Vk83zq+fGAfoJ77w57rU0SQn2Fg8cVi4TTLcQ2lxLmevN/PBNas4dtlyYOBh0MaWTjadqOfJGSNINElPYSWQmkDXtWs079qNfeWKiC5l6PEoFbUXeezbW/i7t44xITeTij95iB/8Xgnjh5saxAPB/G/2A1/4M3PJYqpO3mThhByyUpPCbZbhHpZZxbHftrJBkwoKSJ0xHecAs0Erj1ymw+0x4vcIYXVJIe9fdfJeXU+qqt5xVNeAxxOxtT9VlU0nrrLyu9v5018fIjstiVc+M5dffm4+s0YN7v0Ehl4xDtAPmnfvwd3YSMOcR7nY0GrCnxHKiEFpTC2w35ZDANjLymk7doyO8+f7fd6K2otMGJ7JlBGm9FkkcEcTOLDQtqOykpQHHiBlwoQAWRY49n94k0/+1y4+85N9tHa6+e5vz+KtLyxk0QPDInq1Gm0YB+gHzppqbOnprM8Yg01gWXFuuE0y3IfSyXnUXrh1pzj27TBo/0TxF262sPdcA0/PKjBfPBGCTxP4xgA0gR0X62g9eDDitH8+Ld8z33+Xszea+cenp7LhS4t4csYIU3IxCBgH2Ava2Ylz/QYylyyh6mQD84qGMiQj+qtFxCq+4tgbj98dBnVU9085s6bWW4DZdH6ILAaqCXRUVQFETPbnvVq+L5dNZOuXF/N780ebYhtBxPxle6F5zx7ct27R8tAiTtU3mdqfEc7k/Ky7imMD2MtX0H7sOB0fftinc6kqFbV1zB87hAKTZRdRDFQT6KisJG3GDJILC3s/OIjcaGrn7986elvL97lHxt7W8qUnG71psDEOsBec1TXY0tPZmDUWgOVTTPgzkvEVx95xuktx7H6GQQ9dbOTM9Waj/YtAfJrALSevUe/sW5/A9tOnaX///bCGP5vaXXxnw0ke/eZmXnnnHKtmFbDlzxfzv1ZOZrCJMIUM4wB7QF0unOvXk2mJ32eOHER+tlkJRDqlxd7i2NtOeotjJ40YQdqMGThq+pYNuqa2jpREGyum5QfDTMMA6a8m0FFVBTYb9hWhbyva7nLzY0vL950Np3hkwjCj5QsjxgH2QPPu3bhv3aLzkSUcuthowp9RwtyiIdhTE9lw/E4YNKu8vE9h0E63h7cOXWJZcS52I3mJSMYPz2TmyL5pAlWVxspK0ufNJXFY6LS8bkvLt/TbW/n7KNbyichIEdksIsdF5KiIfNEaHyIi60XklPU4uMucr4rIaRF5X0TKuoyXiMgRa993rVrPWPWgf22N77ba6QUF4wB7wFldg6Sns2XQeADKjPwhKkhKsLFk0j3FsfsYBt128ho3mjtYNdOEPyOZvmoC2947SueH50Om/fNp+R7vouX7aXRr+VzAn6nqZGA+8HkRKQa+AmxU1QnARus11r5ngSlAOfCfIuKrIfl94Hm8jQ8mWPsBPgs0qOp44AXgG8G6GOMA74O6XDg3bCDLCn9OzM2iKCcj3GYZ/KS0OJebzR3s/9BbHDtpxAjSZs70uypMRW0dQzKSWWQq/kQ0H+ujJtBRWQlJSWSVlgbZMth37ia/9V/v8pmf7KOt0833LC3fo1Gs5VPVy6p6wHruBI7jbVD+FPCKddgrwNPW86eAX6lqu6qexdvQYK7VCs+uqu+qd/n+03vm+M71GrBUgvQHMw7wPrTs2YO7oQEWL2XvuZumBU6UsegBX3HsK7fHssrLaD9+nI5z53qc62jrZP2xq3xser5JQY9wstOTWF6c65cmUD0eHOvWkfnIIyRkZwfNJq+Wby+rf/Au52608E9PT2X9lxbxsejR8iWKyL4u2/PdHWSFJmcBu4Fcq3Ud1uNw67ACoOuvk4vWWIH1/N7xu+aoqgtoBIYG4Lo+gvnffR8cVvhzx5AJeBRT/SXK6LY4dpmvRVLPYdDqI1dod3mM9i9K8FcT2LJvH66rV4Om/bvY0MKXXj3o1fKdvXlby/e70aflc6nq7C7bi/ceICKZeJud/09V7Sn+3J3H1x7Ge5oTcKLqUwkVvuzPrMWLWHeqgVFD0pmcHz03qg1elhfncu5GC6frvcWxk/Lz/QqDVtTWUZSTwcyRg0JgpWGgPDJhmF+aQEdlFZKWRtaSJQF9/65avrWHL/P8I2PZ9uXY1fKJSBJe5/dzVX3dGr5qhTWxHn2/Ri4CI7tMLwQuWeOF3YzfNUdEEoFs4Gbgr8Q4wG5p2bsXd0MDiY8tY+fp65RPzYvamH084ytZt75LNqh9RTntJ07QfvZst3Mu3Wpl19kbrDKlz6KGBJuwalbPmkDt7MRZU0PWkiXY0tMD8r7dafm2fnkxX41hLZ91L+5l4Liq/muXXW8Cz1nPnwPe6DL+rJXZWYQ32WWPFSZ1ish865yfumeO71yrgU060NYf98E4wG5wVNcgaWnsHjaRTrea7M8oJT87jWkF2XdVhcmywqDOmu7DoGsO1qEKT5vsz6hidUlBj5rA5nfewX3rFvYnBp792b2WbxHfWD09HnTCDwO/BzwmIgetbSXwdaBURE4BpdZrVPUo8CpwDKgGPq+qvpu1fwz8EG9izAeAr17hy8BQETkNfAkrozQYxN76fIDcEb8vovr0LYZnpTDLhMKiltLiXF7YcPJ2B/GkvDzSZs3CUV1Dzh/90V3HqioVB+qYPXowo4YGZpVgCA3jh2fd1gT+wSNFH1m9N1ZWYrPbyVi4sN/v4fYobx6q49tvn+RiQysLxg7lL1dMiqtQuaruoPt7dABL7zPna8DXuhnfB0ztZrwN+MQAzPSboK0AReRHIlIvIu91Gfs7Eam755eDb1+fxJLBomXfPtw3b5K2bDmbT1yjbEpetGRuGbrhTnHsOwkS9vIy2k+coOVA7V0C6qOXHJyqb2KV6fsXlfg0gUcv3Z2T4WltpWnDRrKWl2JL7nto8n5avl98bl5cOb9YJJgh0J9wR9jYlRdUdaa1VUG/xZJBwbGuGklL40D+ZFo73ab6S5QzKe+jxbGzysuR9HQ+/J3f4fTiJdT9xV9w6ze/oWZjLckJNp6YNiKMFhv6yx1N4N3JME1bt+JpaemX+D0WtXyGOwQtBKqq2/pQwua2WBI4a8V+54rIOSyxJICI+MSS/ett0wuqSvP27WQuXsS607cYlJ7E3KIhwXgrQ4jwFcf+xZ7zNLe7yEhJJCk3l3FvvUnT9h00795F8853cLz5FiuBh7NzaNYdMG8u6fPmkZRnfgBFCz5N4JqDdXx15SRSEr2/oR2VlSQMyyF97ly/z3XiioNv1bzPhuP1DMtK4Z+enson54yMNjmDoRfCcQ/wCyLyKWAf3pI6DXiFj7u6HOMTRXZyf7HkR7AEm88DJPcj1CEijH3rTdpvNbLhpSMsn5Jn/sHHAMuLc/nJO+fYfur67RV9UkEBg5/9JIOf/SSqys6Ne/n1ixU8l3aDpo0baXzdm92dNHoUGfPmkz5vLhlzQ1s/0tB3VpcUsvbwZTafqKd8aj5up5OmrdsY9MlPIgkJvc6/cLOFFzacpKK2jsyURL5cNpHff3hMTMoZDKF3gN8H/hGvqPEfgW8Dn6F/YsmP7vAKNl8EyMjI6FfarC0jg32XWnC0uUz2Z4wwxyqOvf7Y1W5D2iLCa9eT2DZlCd/6q6Uk24T299+nefduWnbvwVFVxa1XXwUgedw4MubNJX3uPG9B5cFRWc8xZumqCSyfmo9z/Qa0o4PsXsTvN5ra+ffNp/n5rvOIwPOPjOWPF49jUHpsyhkMXkLqAFX19o0YEXkJWGu97I9YMmhUv3eF9OQEHpmQE+y3MoSApAQbj00azqYTV3G5PSTes6pvbndRc/Qqqx4suB02S508mdTJkxn66U+jLhdtx4/Tsns3zbv3cGvNGzT84pcApEyc6F0dzptH+pw5JNjtIb8+wx18msCXtp/hmrOd1qoqkgoLSZ0xo9vjm9pd/HD7GV7adobWTje/NXskX1w2IR7kDAZC7ABFJN9XLw5YBfgyRN8EfiEi/wqM4I5Y0i0iThGZj7fe3KeA7wXTRrdHqTl6lSUTh5Oa1HvIxBAdlBbnsebgJfZ/2MC8sXeXFaw5eoXWTjcfv0/pM0lMJG3aNNKmTWPoH/wB2tlJ63vv0bJ7D827d3Hr16/S8NOfgQipkyeTPn8+GfPmklYym4RMU0A91KwuKeAnG4+x6bX1TH/3XYZ+9rMfSVhpd7n5xe7z/Pum09xo7mDF1Dz+bPlExg/PDJPVhnAQNAcoIr8EFgM5InIR+FtgsYjMxBvGPAf8IXjFkiLiE0u6+KhY8idAGt7kl6AkwPioPd/A9aZ2U/w6xnj0gRyrOPbVjzjAito6Rg5Jo2S0f+FMSUoifdYs0mfNIueP/hBPRwdthw7RvHsPLbt30/Czn3HzRz+ChARSp04hY+480ufPI/3BB7GlmZVFoFBVXPXX6Dh7hvYzZ+g4c5aOM2fQs2epuHwZ1oIkJ5P95Mduz3F7lDcO1vGv6+NXy2e4gwSpwkzYycjI0Obm5j7P+6e1x/jpux+y/6+XkWUaocYUn/rRHj680cyWP198e0Vw1dHGgv+zkS8sGc+Xlk8MyPt42tpora29fQ+x9cgRcLkgKYm06dNv30NMmzUTW0pKQN4zlvF0dND54Ye0nzl7x9mdPUfHmTN4uvwft2VkkDx2LCljiziWOIQfXVD+1xefYmrJZEvLV8+/1LzPiStOpoyw85flk3hkQo6RM9yDiLSoalyELkxqUxdUleqjV1g4Icc4vxiktDiXv17zHqfrm5iQ6y1u/ubBS3gUVj1Y2Mts/7GlppKxYAEZCxYA4GlupuVALS27d9G8ew/Xf/Bf8J/fR5KTSZs16/Y9xLRp05B+ZC/HCq6GBjrOeldx7dZqrv3sGTovXASP5/Zxifn5pBQVkb1qFclji0gZO5bkorEkDr+jzcto6eRP/nkDr9V5aBt6k29Un2DvuQbGDE3ne789i8en5ZsCFwazAryX0/VO2l0epowIXr8wQ3i40tjG/P+zkS+XTeTzS8YDsOLftpOSaGPN5x8OmR1up5OWffto2bWb5j17aD9xAlSRtDRvaHXePDLmzyN1yhQkMbZ+o6rLRWdd3e2QZftZK3R59qy3/6aFJCeTXFTkdXBFY2+v7JLHjPG7mPUXfnGA6veu4PIow7JS+OLSCUbL5wfxtAI0DtAQVzz57zuwibDm8w9z4oqD8u9s5++fnMJzD40Jm03uW7do3ruXFuseYvupU4A3pJc2u8R7D3HePFInT/JLyxYJuJuavau5rvfnzp6h49yHaGfn7eMScnJIGTOG5LFj76zmxo4lKT9/wNe6/8MGvvTqQX5r9kij5esDxgHGAMYBGrrjextP8e31J9nzv5by8s6zvLz9LHv+ahlDIqh9jevGDVr27Ll9D7HDat1ks9tJnzPHew9x3jxSJkxAbOFbzagqritX7nJw7dZqznX1Tuk5EhJIHjXqziquyPdYFNTO7Ib+YRxgDGAcoKE7jl92sOLftvNPT0/l3zedZmqBnR8+NyfcZvVI59V6Wvbsvu0QOy9cACBh8GDS58whff48MubNI3ns2KAkdHja2+k49+FHsi3bz51DW1puH2fLyvpoyHLsWJILC+P63ma0YRxgDGAcoKE7VJVHvrmZDpeHemc7//E7D/L49Pxwm9UnOi9d8koudu2iec8eXJe90tqEYTlkzPGuDjPmzSVp9Gi/HaKq4r558yMJKB1nztJZVwe+7wkRkkaMuGs15wtdJgwdajIqYwDjAGMA4wAN9+Pv3zrKj3eeIyslkb3/e1lUFzxQVTovXLi9OmzZvRvXtWsAJObldSnbNo/kwgK0s5OOixe7ybY8i6ex8fZ5JTWV5KIiUoqK7l7NjR5ttIwxjnGAMYBxgIb78c4H1/mdl3bzydkj+cbq6eE2J6CoKh1nz94u29ayZw/umzcBb8KJ+9YtrybRInHYsDsJKF1Cl4l5eWG9v2gIH8YBxgDGARruh8vt4Vtvn+TZOSMZkxPb/89VlfZTp2jZvYe2994jMTe3i3auiISsrHCbaIgwjAOMAYwDNBgMhr4TTw7QxDgMBoPBEJcYB2gwGAyGuMQ4QIPBYDDEJcYBGgwGgyEuMQ7QYDAYDHGJcYAGg8FgiEuMAzQYDAZDXGIcoMFgMBjikpgVwouIB2jt5/REwNXrUbGFueb4IN6uOd6uFwZ+zWmqGheLo5h1gANBRPap6uxw2xFKzDXHB/F2zfF2vRCf19xf4sLLGwwGg8FwL8YBGgwGgyEuMQ6we14MtwFhwFxzfBBv1xxv1wvxec39wtwDNBgMBkNcYlaABoPBYIhLjAM0GAwGQ1wS1w5QRJrCbUOoEBG3iBzsso3p4dgtIhLVadQioiLysy6vE0XkmoisDaddoUBEVlnXPynctgSTeP6MIb6+v4JFXDvAOKNVVWd22c6F26Ag0wxMFZE063UpUNeXE4hIYsCtCg2/DewAnu3LJBFJCI45QWPAn7Ehvol7BygimSKyUUQOiMgREXnKGh8jIsdF5CUROSoib3f5jxYTiEiJiGwVkf0iUiMi+V12/66IvCMi74nI3LAZOTDWAY9bz38b+KVvh4jMta6v1nqcaI1/WkT+W0TeAt4OvckDQ0QygYeBz2I5QBFZLCLbRKRCRI6JyA9ExGbtaxKRfxCR3cCC8Fneb/rzGW8XkZldjtspItNDaXSgsD7btV1e/7uIfNp6fk5E/r7Ld1tMRwT6Q9w7QKANWKWqDwJLgG+LiFj7JgD/oapTgFvAM+ExMSCkdQl/VohIEvA9YLWqlgA/Ar7W5fgMVX0I+BNrXzTyK+BZEUkFpgO7u+w7ATyqqrOAvwH+ucu+BcBzqvpYyCwNHE8D1ap6ErgpIg9a43OBPwOmAeOAj1vjGcB7qjpPVXeE2tgA0J/P+IfApwFE5AEgRVUPh8zi0HLd+m77PvDn4TYm0ojWEE8gEeCfReRRwAMUALnWvrOqetB6vh8YE3LrAkerqs70vRCRqcBUYL3l7xOAy12O/yWAqm4TEbuIDFLVW6Ezd+Co6mHrXudvA1X37M4GXhGRCYACSV32rVfVm6GxMuD8NvAd6/mvrNeVwB5VPQMgIr8EFgKvAW7gN6E3MzD08zP+b+CvReTLwGeAn4TG2rDwuvW4nzs/egwWxgHC/wcMA0pUtVNEzgGp1r72Lse5gVgKgQpwVFXvF/a6VyAarYLRN4FvAYuBoV3G/xHYrKqrrC/QLV32NYfKuEAiIkOBx/DeF1O8P2oUr2O43+fZpqru0FkZFPr0Gatqi4isB54CfguI5oQvF3dH8lLv2e/7DnNjvu8/ggmBen8l1lvObwkwOtwGhYj3gWEisgBARJJEZEqX/Z+0xhcCjaraGAYbA8GPgH9Q1SP3jGdzJ2Hi0yG1KHisBn6qqqNVdYyqjgTO4l3tzRWRIuve3yfxJsnECv35jH8IfBfYG8WrfYAPgWIRSRGRbGBpuA2KJuLWAVoZfu3Az4HZIrIP72rwRFgNCxGq2oH3C/MbInIIOAg81OWQBhF5B/gB3oSKqERVL6rqv3Wz65vA/xGRnXhXSrHAbwMV94z9Bvgd4F3g68B7eJ3ivcdFLf35jFV1P+AAfhwCEwOO7/tLVS8ArwKH8X6X1YbVsCgjbkuhicgM4CVVjdYMR4PBL0RkMfDnqvpEmE2JGERkBN6Q6CRV9YTZnD5jvr8CQ1yuAEXkj/AmefzvcNtiMBhCi4h8Cm+26F9FqfMz318BIm5XgAaDwWCIb+JyBWgwGAwGg3GABoPBYIhLjAM0GAwGQ1xiHKDBYDAY4hLjAA0Gg8EQl/w/T/+j5W8ym0cAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# 生成数据\n",
    "months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']\n",
    "orders = np.random.randint(low=1000, high=5000, size=6)\n",
    "amounts = np.random.randint(low=10000, high=50000, size=6)\n",
    "\n",
    "\n",
    "df = pd.DataFrame({'orders': orders, 'amounts': amounts}, index=months)\n",
    "\n",
    "# 绘制图表\n",
    "ax = df['orders'].plot(kind='line', label='Orders', color='tab:blue')\n",
    "ax2 = df['amounts'].plot(kind='line', label='Amounts', secondary_y=True, color='tab:red')\n",
    "ax.set_ylabel('Orders')\n",
    "ax2.set_ylabel('Amounts')\n",
    "lines, labels = ax.get_legend_handles_labels()\n",
    "lines2, labels2 = ax2.get_legend_handles_labels()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc220892",
   "metadata": {},
   "source": [
    "#### 6. 使用 Pandas 和 NumPy 读取并可视化某公司的员工数据。绘制员工薪资和工作年限的关系图，其中 x 轴表示薪资，y 轴表示工作年限，颜色表示员工的岗位，形状表示员工的性别。\n",
    "\n",
    "数据：执行以下代码块获取数据\n",
    "\n",
    "```py\n",
    "# 生成数据\n",
    "salaries = np.random.normal(loc=50000, scale=10000, size=1000)\n",
    "years = np.random.randint(low=0, high=20, size=1000)\n",
    "sexes = np.random.choice(['M', 'F'], size=1000)\n",
    "positions = np.random.choice(['Manager', 'Engineer', 'Sales', 'Marketing'], size=1000)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f1b75399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           salary  year sex   position\n",
      "0    37526.679264    17   M    Manager\n",
      "1    51077.347205    19   M      Sales\n",
      "2    40672.518042    12   F      Sales\n",
      "3    53762.992721    18   M      Sales\n",
      "4    55951.642547     8   M   Engineer\n",
      "..            ...   ...  ..        ...\n",
      "995  34416.682995    11   F  Marketing\n",
      "996  52833.064731    14   F    Manager\n",
      "997  59827.840082     4   M      Sales\n",
      "998  58534.775191     3   M   Engineer\n",
      "999  47045.565281    18   F    Manager\n",
      "\n",
      "[1000 rows x 4 columns]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "np.random.seed(1223)\n",
    "# 生成数据\n",
    "salaries = np.random.normal(loc=50000, scale=10000, size=1000)\n",
    "years = np.random.randint(low=0, high=20, size=1000)\n",
    "sexes = np.random.choice(['M', 'F'], size=1000)\n",
    "positions = np.random.choice(['Manager', 'Engineer', 'Sales', 'Marketing'], size=1000)\n",
    "\n",
    "df = pd.DataFrame({'salary': salaries, 'year': years, 'sex': sexes, 'position': positions})\n",
    "print(df)\n",
    "# 绘制图表\n",
    "cmap = {'Manager': 'tab:green', 'Engineer': 'tab:blue', 'Sales': 'tab:orange', 'Marketing': 'tab:red'}\n",
    "sex_map = {'M': 'o', 'F': 'x'}\n",
    "\n",
    "# df.plot.scatter(x='salary',y='year',color=df[\"position\"].map(cmap),marker='o')\n",
    "dfs = df.groupby(\"sex\")\n",
    "group =None\n",
    "for sex,groups in dfs:\n",
    "    group = groups.plot.scatter(x='salary',y='year',color=groups[\"position\"].map(cmap),marker=sex_map[sex],ax=group)\n",
    "# ax = None\n",
    "\n",
    "# for sex, d in list(dfs):\n",
    "#     if ax == None:\n",
    "#         ax = d.plot.scatter(x='salary', y='year', c=pd.Categorical(d[\"position\"].map(cmap)), marker=sex_map[sex])\n",
    "#     else:\n",
    "#         d.plot.scatter(x='salary', y='year', c=pd.Categorical(d[\"position\"].map(cmap)), marker=sex_map[sex], ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58a4f702",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
